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Internship R Statistical Programmer Jobs in Chicago, IL

Bachelor's degree in data science, statistics, computer science, computer engineering, or ... Experience with programming languages such as Python, R or SQL. * Experience with data analytics ...

Metrology Technician

Manteno, IL · On-site

$26 - $30/hr

... R, Statistical Process Control (SPC) to ensure product gauging meets requirements. * Resolve issues and answer questions from Operators as well as from Inspectors and Engineers. * Train other ...

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Internship R Statistical Programmer information

See Chicago, IL salary details

$87K

$151.7K

$256.5K

How much do internship r statistical programmer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for internship r statistical programmer in Chicago, IL is $151,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $164,800.00 per year, depending on experience, location, and employer.

What is the difference between Internship R Statistical Programmer vs R Statistical Programmer?

AspectInternship R Statistical ProgrammerR Statistical Programmer
Required CredentialsTypically pursuing or recently completed a degree in statistics, biostatistics, or related fieldBachelor's or master's degree in statistics, biostatistics, or related field; professional experience preferred
Work EnvironmentInternship setting, often part-time or temporary, supervised by senior staffFull-time, permanent role within pharmaceutical, biotech, or healthcare industries
Employer & Industry UsageUsed in academic, research, or entry-level industry settingsCommon in clinical research, pharmaceutical companies, and CROs

The main difference between an Internship R Statistical Programmer and an R Statistical Programmer is experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while R Statistical Programmers are full-time professionals responsible for developing and maintaining statistical programming in clinical trials or research projects.

What are the key skills and qualifications needed to thrive as an Internship R Statistical Programmer, and why are they important?

To thrive as an Internship R Statistical Programmer, you need a solid background in statistics, programming with R, and data analysis, usually supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with RStudio, data visualization libraries (like ggplot2), and version control systems such as Git is typically expected. Attention to detail, problem-solving ability, and effective communication are vital soft skills that help you interpret data and collaborate with team members. These competencies ensure accurate data processing, meaningful statistical insights, and efficient teamwork on research or business projects.

What does an Internship R Statistical Programmer do?

An Internship R Statistical Programmer assists with data analysis, statistical modeling, and data visualization using the R programming language. Interns typically work under the supervision of experienced statisticians or data scientists, helping to clean and manage datasets, write scripts and code in R, and generate reports or graphics for research projects or business analyses. This role provides valuable hands-on experience in statistical programming and is often geared towards students or early-career professionals interested in data science or analytics.

What does a typical day look like for an Internship R Statistical Programmer, and how do interns collaborate with other team members?

As an Internship R Statistical Programmer, your typical day involves writing and testing R scripts to process and analyze data, often under the guidance of experienced programmers or statisticians. You'll participate in team meetings, contribute to code reviews, and work closely with data scientists, biostatisticians, or clinical research teams depending on the industry. Collaboration is key, as you'll frequently discuss analysis plans, clarify data requirements, and troubleshoot code alongside others. This role provides hands-on experience with real-world datasets and fosters growth in both technical and communication skills.
What are the most commonly searched types of R Statistical Programmer jobs in Chicago, IL? The most popular types of R Statistical Programmer jobs in Chicago, IL are:
What are popular job titles related to Internship R Statistical Programmer jobs in Chicago, IL? For Internship R Statistical Programmer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Internship R Statistical Programmer jobs in Chicago, IL look for? The top searched job categories for Internship R Statistical Programmer jobs in Chicago, IL are:
Data Scientist, Financial Services Consulting

Data Scientist, Financial Services Consulting

TransUnion

Chicago, IL

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


TransUnion rating

9.3

Company rating: 9.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

TransUnion's Job Applicant Privacy Notice

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What We'll Bring:

At TransUnion, we strive to build an environment where our associates are in the driver's seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.
Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology.

What You'll Bring:

  • Master's or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field with a track record of academic excellence
  • 2+ years of experience performing analytic work in Financial Services or related industries
  • Strong analytical, critical thinking, and creative problem solving skills
  • Advanced programming skills; mastery of a statistical language such as R or Python; experience using other programming and data manipulation languages (SQL, Hive, C/C++, Java); proficiency with Microsoft Office tools
  • Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment
  • Strong project management skills with the ability to manage multiple assignments effectively
  • An understanding of current industry challenges and trends at the level needed to proactively identify customers' analytical needs and related business opportunities
  • Ability to travel 10-20%

Impact You'll Make:

The Financial Services Consulting team at TransUnion is an industry recognized, client-facing department that rewards an entrepreneurial spirit. We have deep technical expertise and an established reputation as an analytic solutions provider in the Financial Services industry. We have a wealth of data and industry experience within our large group of highly-trained analysts, statisticians, engineers, and economists. We also have a modern computing environment based on best-in-class "big data" technologies and the freedom to explore new data sources and statistical and machine learning methodologies. All of these resources will enable you to help us deliver next-generation analytic solutions for our customers.

This position is responsible for developing credit risk management and business intelligence analytic solutions through consulting engagements and research serving TransUnion's clients. This position requires an understanding of US consumer lending and credit risk management practices.

  • You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long-term value-added product propositions for customers in the US financial services segment at TransUnion. This includes but is not limited to the development of predictive risk management and business intelligence solutions for Fintechs, credit card issuers, collections agencies, and retail banks.
  • You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, gradient boosted trees, survival analysis, principal component analysis, scenario and sensitivity analysis).
  • You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and SQL.
  • You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
  • You will develop project proposals, sales presentations, and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
  • You will identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services.
  • You will provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision.
  • You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.

Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Benefits:

TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com.

Pay Scale Information :The U.S. base salary range for this position is $67,500.00 - $112,500 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations.Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents.


TransUnion's Internal Job Title:

Sr Analyst, Data Science and Analytics

Company:

TransUnion LLC

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